HPC-enabled GA-SVM feature selection model for large-scale data
With the explosive growth of data to be processed in multiple areas such as bioinformatics, scientific simulation and e-commence, data mining techniques are essential in making proactive, prudent and knowledge-driven decision. Support vector machine (SVM), pioneered by Vapnik has been chosen in this...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/10356/18903 |